Agents need an operating system, not another demo.
Production AI agent and RAG development using LangGraph, model tools, vector search, evaluation, durable jobs, observability, and full-stack product engineering.
AI Agent and RAG Development — Delivery & Scope
Production execution across AI automations, agentic systems, full-stack software development, and systems integration for US and global teams.
Field notes from this practice
- LinkedIn Automation With Claude in Chrome: What Works, What Gets Accounts Restricted, and a Safe Human-in-the-Loop Workflow
- GraphRAG vs. Vector RAG: When Knowledge Graphs Actually Beat Vector Similarity (And When They Are Wasteful)
- The MCP Tool Schema Explosion: Why Connecting 20 Servers Kills Agent Context (And How JIT Routing Fixes It)
- Why Fixed-Token Chunking Destroys Code Search (And How AST-Aware Splitting Fixes It)
- The Dark Side of HyDE: Why Hypothetical Document Embeddings Fail on Precise Technical Queries
- Taming the Unstructured: Accurate Table and Chart Extraction from Scanned PDF Documents